Prof. Matteo Bonato | Medicine and Health Sciences | Best Researcher Award
Prof. Matteo Bonato, Department of Biomedical Sciences for Health, University of Milan, Italy
Prof. Matteo Bonato, a distinguished member of the Department of Biomedical Sciences for Health at the University of Milan, Italy 🇮🇹, is a leading figure in Medicine and Health Sciences. His groundbreaking research and innovative contributions have earned him recognition in the field. 🧬📚 As a prominent candidate for the Best Researcher Award 🏆, Prof. Bonato’s work is shaping the future of medical science and health care. His dedication and excellence continue to inspire and drive advancements in biomedical research. 👩🔬🔬✨
📋 Profile
📚 Academic and Professional Background
🌟 Prof. Matteo Bonato 🌟 is an Associate Professor at the School of Sport Science, Università degli Studi di Milano. His research delves into how physical activity, especially with digital devices, can prevent and manage sarcopenia in older adults. 💪📱 With a focus on exercise prescription and tailored activity programs, Prof. Bonato aims to boost cardiorespiratory and muscle fitness, tackling non-communicable diseases and promoting overall health and wellbeing. 🏋️♂️❤️ His expertise in enhancing physical health through innovative approaches highlights the crucial role of exercise in aging gracefully. 🌿🏃♀️
🔬 Research and Innovations
Prof. Matteo Bonato has made significant strides in research on physical exercise and neuromuscular impairments. 🌟 In 2019, he led a groundbreaking project on sarcopenia with a €450,000 grant. 💪 In 2022, he received €1,500 to explore activity pacing for people living with HIV. 🏋️♂️ By 2023, he co-led a €245,196 study on countermeasures for neuromuscular impairments due to inactivity. 🧠 In 2024, he secured €15,000 for a home-based exercise trial aimed at reducing sarcopenia. 🏡 His ongoing work continues to impact the field of physical health and rehabilitation. 📊✨
📑 Publication Top Notes
Smell and taste disorders in COVID-19: From pathogenesis to clinical features and outcomes
The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1-II. The ELAIS-N1 LOFAR deep field
Relationship between anthropometric or functional characteristics and maximal serve velocity